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Grading of Gliomas by Using Radiomic Features on Multiple Magnetic Resonance Imaging (MRI) Sequences
BACKGROUND: Gliomas are the most common primary brain neoplasms. Misdiagnosis occurs in glioma grading due to an overlap in conventional MRI manifestations. The aim of the present study was to evaluate the power of radiomic features based on multiple MRI sequences – T2-Weighted-Imaging-FLAIR (FLAIR)...
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| Veröffentlicht in: | Med Sci Monit |
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| Hauptverfasser: | , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
International Scientific Literature, Inc.
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5436423/ https://ncbi.nlm.nih.gov/pubmed/28478462 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12659/MSM.901270 |
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